eprintid: 127
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/27
datestamp: 2023-11-09 15:15:45
lastmod: 2023-11-09 15:15:45
status_changed: 2023-11-09 15:12:51
type: article
metadata_visibility: show
creators_name: Bhattacharya, A.
creators_name: Abraham, A.
creators_name: Grosan, C.
creators_name: Vasant, P.
creators_name: Han, S.
title: Meta-learning evolutionary artificial neural network for selecting flexible manufacturing systems
ispublished: pub
keywords: Backpropagation; Decision making; Flexible manufacturing systems; Genetic algorithms; Learning systems; Membership functions; Parameter estimation, Back-propagation (BP) algorithm; Meta-Learning Evolutionary Artificial Neural Network (MLEANN); Multi-criteria decision-making; Search algorithm, Neural networks
note: cited By 4; Conference of 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks ; Conference Date: 28 May 2006 Through 1 June 2006; Conference Code:67771
abstract: This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS's. First, multi-criteria decision-making (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the 'best candidate FMS alternative' from a set of candidate-FMSs. The MCDM model trade-offs among various parameters, namely, design parameters, economic considerations, etc., affecting the FMS selection process in multi-criteria decision-making environment. Genetic algorithm is used to evolve the architecture and weights of the proposed neural network method. Further, a back-propagation (BP) algorithm is used as the local search algorithm. The selection of FMS is made according to the error output of the results found from the MCDM model. © Springer-Verlag Berlin Heidelberg 2006.
date: 2006
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745911288&doi=10.1007%2f11760191_130&partnerID=40&md5=54936ad14bb90f93b3ee8680f9a11d32
id_number: 10.1007/11760191₁₃₀
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 3973 L
place_of_pub: Chengdu
pagerange: 891-897
refereed: TRUE
isbn: 3540344829; 9783540344827
issn: 03029743
citation:   Bhattacharya, A. and Abraham, A. and Grosan, C. and Vasant, P. and Han, S.  (2006) Meta-learning evolutionary artificial neural network for selecting flexible manufacturing systems.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3973 L.  pp. 891-897.  ISSN 03029743